At a Glance
- Tasks: Lead data analysis using AWS tools to drive insights and recommendations.
- Company: Join Luupli, a social media app empowering diverse creators from marginalised communities.
- Benefits: Equity-only compensation with a chance to own part of a growing company.
- Other info: Work collaboratively with cross-functional teams to shape product enhancements.
- Why this job: Be at the forefront of data strategy in a mission-driven environment.
- Qualifications: Bachelor's or master's in a relevant field; experience with AWS analytics required.
The predicted salary is between 36000 - 60000 £ per year.
Luupli is a social media app in development, which will provide opportunities for diverse creators coming from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space.
As a Lead Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth.
Responsibilities:
- Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals.
- Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight.
- Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis.
- Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition.
- Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making.
- Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies.
- Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS.
Requirements:
- Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services.
- Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight.
- Solid understanding of data modelling, ETL processes, and data warehousing concepts.
- Proficiency in statistical analysis, data mining, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling.
- Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages.
- Strong analytical, problem-solving, and critical thinking skills.
- Experience with social media analytics and understanding of user behaviour.
- Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka.
- Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend.
- Experience with data governance and security best practices in AWS.
- Excellent communication and collaboration skills to effectively work in a cross-functional team environment.
- Strong attention to detail and ability to deliver high-quality work within deadlines.
This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success.
Lead Data Scientist (Equity Only) - 1% in Manchester employer: Luupli
Luupli is an exceptional employer that champions diversity and inclusion, providing a unique opportunity for the Lead Data Scientist to make a significant impact in a rapidly evolving social media landscape. With a strong focus on collaboration and innovation, employees are encouraged to grow their skills while working with cutting-edge AWS analytics tools in a supportive environment. The equity-only compensation model not only aligns personal success with the company's growth but also fosters a sense of ownership and commitment among team members.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Equity Only) - 1% in Manchester
✨Tip Number 1
Familiarise yourself with AWS analytics services, especially Amazon Redshift and Amazon QuickSight. Being able to discuss specific projects or experiences where you've used these tools will demonstrate your expertise and make you stand out.
✨Tip Number 2
Showcase your experience in collaborating with cross-functional teams. Prepare examples of how you've worked with data engineers or product managers to achieve common goals, as this role heavily relies on teamwork.
✨Tip Number 3
Highlight any experience you have with social media analytics. Understanding user behaviour in this context is crucial for the role, so be ready to discuss how your insights have driven decisions in previous projects.
✨Tip Number 4
Prepare to discuss your approach to data governance and security best practices in AWS. This is an important aspect of the role, and demonstrating your knowledge will show that you are a responsible candidate.
We think you need these skills to ace Lead Data Scientist (Equity Only) - 1% in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, particularly with AWS analytics services. Emphasise your skills in programming languages like Python or R, and any experience with social media analytics.
Craft a Compelling Cover Letter:In your cover letter, express your passion for supporting diverse creators and how your expertise can contribute to Luupli's mission. Mention specific projects where you've successfully used AWS tools to drive insights.
Showcase Your Technical Skills:Include examples of your work with data pipelines, ETL processes, and machine learning techniques. If possible, provide links to projects or portfolios that demonstrate your proficiency in AWS analytics services.
Highlight Collaboration Experience:Since the role involves working with cross-functional teams, share instances where you've collaborated effectively with others. This could include working with data engineers or product managers to achieve common goals.
How to prepare for a job interview at Luupli
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS analytics services like Amazon Redshift and Amazon QuickSight. Be prepared to discuss specific projects where you utilised these tools to derive insights or solve problems.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with data engineers, product managers, or business stakeholders in the past. This will show that you can work well in a team environment.
✨Prepare for Technical Questions
Expect to be asked about data modelling, ETL processes, and machine learning techniques. Brush up on your knowledge and be ready to explain complex concepts in simple terms, as this will demonstrate your understanding and communication skills.
✨Understand the Company’s Mission
Familiarise yourself with Luupli's mission to support diverse creators. Be ready to discuss how your skills can contribute to this goal and why you are passionate about working in a social media context that focuses on inclusivity.
